tag:blogger.com,1999:blog-30231379389976306892024-03-05T06:57:04.865-08:00Multi-Dimensional Google EarthNeed your data projected into Google Earth in 2, 3, or 4 dimensions? I may be able to help.Unknownnoreply@blogger.comBlogger36125tag:blogger.com,1999:blog-3023137938997630689.post-41487179825106589532008-12-01T21:21:00.000-08:002013-05-09T19:48:19.884-07:00Phoenix Metro SFR sales price change 2000-2008 in 4D
Click here to View in Google Earth
Annual Average Single Family Detached Resale home prices by Municipal Planning Area in the Phoenix Metropolitan Statistical Area 2000-2008 (YTD Nov 2008).
10 dollars per meter. (Updated)
Dark Green = $23k - $100k
Green = $100k - $200k
Orange = $200k - $300k
Red = $300k+
These are not list prices but I could arrange that. Thought about breaking it down by Unknownnoreply@blogger.com1tag:blogger.com,1999:blog-3023137938997630689.post-22937450930382666382008-11-19T09:41:00.000-08:002013-05-09T19:48:30.407-07:00UK Postcode SectorsI took all the postcode sectors for the UK and created this KMZ file.
The accuracy at the street level leaves something to be desired.
If I could find any interesting post code sector data, I would be interested in creating a thematic map. Anything with counts and/or dates.
Here is a real estate example. Use your imagination to estimate what the count represents.
I tried adding the file Unknownnoreply@blogger.com9tag:blogger.com,1999:blog-3023137938997630689.post-61616576207752547942008-11-03T16:41:00.000-08:002008-11-03T17:02:48.219-08:00Government Data in 3D via the Google Earth APII have been reading with some interest in using the Google Earth API to view public data in your average browser. 3D is available using the center mouse button but I really do miss the Google Earth navigation tool they got rid of in the old version for tilting. The new one just is not as intuitive (or useful, in my opinion). 4D, or time slider inclusion, is still a feature request for the API Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-39287379257768864632008-10-27T16:43:00.001-07:002008-10-27T16:46:39.783-07:00IED events in Afghanistan & Iraq from April 2007 to March 2008View in Google EarthSource: http://blog.fortiusone.com/2008/10/27/vi...2%80%9d-part-i/Green = 0 fatalitiesYellow = 1-30 fatalitiesRed = 30+ fatalitiesUse the time slider to compare month to month.The WITS site ( Worldwide Incident Tracking System ) has the data in Year-Month format as well as MM/DD/YYYY format. I think an exhibit of daily incidents would be more compelling but I am still working Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-39709348513325547302008-10-03T11:40:00.000-07:002008-10-03T11:44:48.878-07:00Animated Historical Political Boundaries Version 1View in Google EarthForgive me if this has been done already. I found a bunch of shapefiles for historical political boundaries on Cartotalk.com and exported them all to KML with TimeSpans.I can not vouch for the accuracy of the boundaries or lack thereof in terms of place and time, but I think it looks interesting and would like some feedback. There seem to me to be several historical boundariesUnknownnoreply@blogger.com4tag:blogger.com,1999:blog-3023137938997630689.post-65889968791653082032008-07-17T15:51:00.000-07:002008-07-17T15:54:56.960-07:00U.S. Oil consumption per square mile by stateView in Google EarthBy request! (I think this was the request):100 meters of height per barrel of oil consumed per square mile per state for the year 2004. So Alaska comes in with 103 barrels of oil (10,300 meters high) per square mile per year. And New Jersey tops out at a modest 30,983 barrels of oil (3,098,300 meters high) per square mile per year.source data:http://www.nationalpriorities.org/Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-69396915168763946832008-03-25T13:36:00.000-07:002008-03-25T13:38:39.055-07:00Latest Earthquakes in the World - Past 100 daysView in Google EarthI finally got around to increasing the data set to 100 days.I suppose I could just update this about 3 times a year if anybody cares.From December 17th, 2007 to March 25th, 2008Green = Magnitude 3 - 4Yellow = Magnitude 4 - 5.2Red = 5.2 +Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-25521533528785296232008-03-17T09:49:00.000-07:002008-03-17T09:52:47.844-07:00Thor the deer GPS animated.View in Google EarthSomebody hooked up a gps to a deer and it automatically broadcasts its position to google earth. This file isn't a network link but it is an animated version of a few hours of plotted points. Just click the 'play' button near the time slider.Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-83368723053855443472008-01-14T14:19:00.000-08:002008-01-14T14:22:24.455-08:003D 2008 US Electoral CollegeView in Google Earth2008 US Electoral College in 3D. 10,000 meters of height per vote. The green states total 271 electoral votes for 2008. You only need 12 states to win!Unknownnoreply@blogger.com2tag:blogger.com,1999:blog-3023137938997630689.post-41714137805529563932008-01-04T13:43:00.000-08:002008-01-04T13:45:40.603-08:002008 Iowa Republican Primary 3D ChartView in Google Earth1 vote = 1000 feet in height. 1. Mike Huckabee2. Mitt Romney3. Ron PaulUnknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-44684563623769649542007-12-03T10:06:00.000-08:002007-12-03T10:08:54.834-08:00Interesting tid bits with MLS dataAverage MLS Sale Price Percent Change November 2006 vs. November 2007 for the Phoenix, Arizona Metro Area.View in Google EarthThose are MLS area boundaries.Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-18512960104156000242007-11-20T12:34:00.000-08:002007-11-20T13:01:12.078-08:00Latest Earthquakes in the World - Past 7 daysView in Google EarthLatest Earthquakes Magnitude 2.5 or Greater in the United States and Adjacent Area sand Magnitude 4.0 or Greater in the Rest of the World - Last 7 daysThe source is USGS ---> http://earthquake.usgs.gov/eqcenter/recenteqsww/Quakes/quakes_all.phpThey have some other good KML files that they made themselves but I didn't find any that were 'animated' so I made this. I'm not sure Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-44899235607877695472007-11-20T09:16:00.000-08:002013-05-09T19:50:16.932-07:00Spread of Africanized Honey Bees in the US
What this map layer shows:
The distribution of Africanized honey bees, by county, as of 2005.
You can animate the timeline to view the speed of the spread.
View in Google Earth
----------------
Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-89635974582964855042007-11-06T08:01:00.000-08:002007-11-06T08:13:26.850-08:00U.S. Tornadoes 1950-2004 (animated)View in Google EarthData from here ---> http://www.nationalatlas.gov/mld/tornadx.html 1 meter of height for each fatality. Green = 0-10 fatalitiesYellow = 11-50Red = 51-116Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-2205764196037220072007-11-05T14:36:00.000-08:002007-11-05T15:47:46.925-08:00California Fire CostsView in Google EarthAccording to http://www.realquest.com/breaking-news.html Green = 1-30 houses affectedYellow = 31-92 housesRed = 93-205 houses100 meters in height per house affected.Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-84374958949045542622007-11-05T07:16:00.000-08:002007-11-05T07:27:18.282-08:00Call for dataIf you have any data you would like to see presented in Google Earth in 4 dimensions (3D plus time), please comment here. The data should have counts of something like:incidents for incident trackingsales volumespolling dataetc.location data like:countries, states, zipcodes, lattitudes & longitudes, cities, metropolitan statistical areas, etc.and the data should also have a time element, if Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-2512617030573859002007-11-02T16:50:00.000-07:002007-11-02T17:46:37.881-07:00Selected Presidential Reports For The 2007 Octoberhttp://query.nictusa.com/pres/2007/Q3/ CONTRIBUTIONS BY ZIP For remaining candidates for the FEC October Quarterly report of 2007. 1 dollar equals 1 foot of height. Red = $1 - $15,000Yellow = $15,001 - $70,000Green = $70,001 +View the following responses for the rest of the candidates. The files are for the entire nation but the screenshots are of the zip codes with the highest donations for thisUnknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-73012660165830746552007-10-24T15:34:00.000-07:002007-11-01T09:41:49.277-07:00California Fires in 4D for 2006View in Google Earth View in Google MapsIt's only 4D in that the temp value is represented in foot height and you can use the slider to animate the sequence of fires.Data taken from http://activefiremaps.fs.fed.us/gisdata.phpTerra and Aqua MODIS fire and thermal anomalies data generated from MODIS near real-time data acquired by the USDA Forest Service Remote Sensing Applications Center, Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-42999179531545811562007-10-24T14:36:00.000-07:002007-11-01T12:43:12.817-07:00California Fires in 4D for 2007 YTDView in Google Earth View in Google Maps It's only 4D in that the temp value is represented in foot height and you can use the slider to animate the sequence of fires.Data taken from http://activefiremaps.fs.fed.us/gisdata.phpTerra and Aqua MODIS fire and thermal anomalies data generated from MODIS near real-time data acquired by the USDA Forest Service Remote Sensing Applications Center,Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-91969459516659161152007-10-04T10:53:00.000-07:002007-11-01T12:39:22.495-07:00Dam Timeline DemoView in Google EarthWrote a macro to extract time data out of a KML file with temporal attributes and auto-tag the placemark with that information.This example uses Dam Completion data from 1850 to 1996.If anybody has any data with counts, dates, and locations for me to play with, please let me know.Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-52541695315003129602007-09-21T09:48:00.000-07:002007-11-01T12:37:06.200-07:004D sales presentation conceptView in Google EarthI'm taking comments & suggestionsRed = low rangeYellow = mid rangeGreen = top rangeThis example is sales but it could be counts for anything at any time for anywhere.Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-40631856334213293062007-09-11T16:26:00.000-07:002007-11-01T12:35:09.219-07:00MSA Permits 2006 & 2007 Jan-JulView in Google EarthThis data is from the National Association of Home Builders http://www.nahb.org/page.aspx/category/sectionID=130 And reflects data in this MS Excel file (dated 8/27/2007): http://www.nahb.org/fileUpload_details.aspx?contentID=55104 Looks like housing permits were cut in half compared to last year.Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-23993322057024666612007-08-09T11:42:00.000-07:002007-11-01T12:31:17.911-07:00Phoenix Metro Housing Permits 4D 1996-2008View in Google EarthThis is an experiment. I took data from several sources but mainly from here:Census dot gov 2007-2008 are projections (probably bad projections).Click the play button on the time component to see the permits go up and down. 1-600 permits in red. 601-3000 permits in yellow. 3001+ permits in green. 1 permit equals 1 meter of height.I think i'll do something more interesting next.Unknownnoreply@blogger.com0tag:blogger.com,1999:blog-3023137938997630689.post-20725805955823869742007-06-19T16:51:00.000-07:002007-11-01T11:57:33.115-07:00500 Top foreclosure zip codesWhere the most foreclosures have been filed.According to this ---> http://money.cnn.com/2007/06/19/real_est...on=money_latestAnother quick & dirty KML from me: (my zipcode layer is a little dated)High end = ClevelandLow end = Phoenix MetroLas VegasDetroitView in Google EarthUnknownnoreply@blogger.com2tag:blogger.com,1999:blog-3023137938997630689.post-12259973879542713682007-03-13T15:49:00.000-07:002007-11-01T11:50:34.148-07:00GDP by Country 3D graphView in Google EarthEconomy Statistics > GDP > Nominal (per capita) by country represented by a meter of height per dollar multiplied by 50DEFINITION: the value of all final goods and services produced within a nation in a given year. GDP dollar estimates here are calculated at market or government official exchange rates. Per capita figures expressed per 1 population. SOURCE: World Bank Unknownnoreply@blogger.com0